Samsudin, S. and Adwan, S. and Arof, Hamzah and Mokhtar, Norrima and Ibrahim, F. (2012) Development of automated image stitching system for radiographic images. Journal of Digital Imaging, 26 (2). pp. 361-70. ISSN 0897-1889, DOI https://doi.org/10.1007/s10278-012-9483-5.
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Abstract
Standard X-ray images using conventional screen-film technique have a limited field of view that is insufficient to show the full bone structure of large hands on a single frame. To produce images containing the whole hand structure, digitized images from the X-ray films can be assembled using image stitching. This paper presents a new medical image stitching method that utilizes minimum average correlation energy filters to identify and merge pairs of hand X-ray medical images. The effectiveness of the proposed method is demonstrated in the experiments involving two databases which contain a total of 40 pairs of overlapping and non-overlapping hand images. The experimental results are compared with that of the normalized cross-correlation (NCC) method. It is found that the proposed method outperforms the NCC method in classifying and merging the overlapping and non-overlapping medical images. The efficacy of the proposed method is further indicated by its average execution time, which is about five times shorter than that of the other method. © 2012 Society for Imaging Informatics in Medicine.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Additional Information: | Samsudin, Salbiah Adwan, Somaya Arof, H Mokhtar, N Ibrahim, F eng Research Support, Non-U.S. Gov't 2012/05/23 06:00 J Digit Imaging. 2013 Apr;26(2):361-70. doi: 10.1007/s10278-012-9483-5. |
Uncontrolled Keywords: | Artifacts, Automation, Hand/*radiography, Humans, *Phantoms, Imaging, *Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, Radiology Information Systems/*organization & administration, Sensitivity and Specificity |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Engineering |
Depositing User: | Mr Jenal S |
Date Deposited: | 12 Feb 2014 01:13 |
Last Modified: | 11 Oct 2018 04:05 |
URI: | http://eprints.um.edu.my/id/eprint/9278 |
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